MACHINE LEARNING WITH PYTHON: BEGINNER BOOTCAMP
Embark on a transformative journey to acquire job-ready machine learning skills swiftly. This beginner-friendly bootcamp equips you with the essential knowledge and practical skills to excel in the field of machine learning.
Total Duration
30 Hours
Timings
Flexible Course
Format
Recorded
Price 29,997
9,999 + Tax*
What are the Things you Master from Course?

Statistics Fundamentals

Data Preprocessing & EDA

Core ML Algorithms

Model Evaluation & Validation

Deployable ML Project
What Are The Topics Covered By This Course?
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Introduction to Machine Learning & Python: Core ML concepts, supervised vs unsupervised learning, and writing Python scripts with variables, loops, functions, and libraries.
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Descriptive & Inferential Statistics for ML : Summarizing data with mean, variance, skewness; understanding distributions; sampling, confidence intervals, and hypothesis testing.
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Data Preprocessing & Exploratory Analysis : Handling missing data, normalizing features, and uncovering patterns through visualizations like histograms, heatmaps, and pair plots.
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Core Machine Learning Algorithms : Modeling with linear/logistic regression, SVMs, clustering (K-means, hierarchical), decision trees, and dimensionality reduction via PCA.
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Model Evaluation & Validation Techniques : Splitting datasets, using cross-validation, and evaluating models with accuracy, precision, recall, F1-score, and ROC-AUC curves.
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Feature Engineering & Selection : Extracting meaningful features, encoding categorical variables, and using statistical tests and regularization for feature selection.
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Hands-On ML with Python Libraries : Building models with NumPy, Pandas, and Scikit-learn for data manipulation, training, hyperparameter tuning, and pipeline creation.
What Are The Benefits Provided By This Course

Course Completion Certificate

Community Support

Hands-On Experience

Expert Instruction

Networking Opportunities

One-Year SNA lab access
SNA Mentor
Course:
MACHINE LEARNING WITH PYTHON: BEGINNER BOOTCAMP
Price:
₹9999 + Tax*
What Included
- Course Completion Certificate
- Community Support
- Hands-On Experience
- Expert Instruction
- Networking Opportunities
- One-Year SNA lab access
Need a Demo?
Students Testimonial
Frequently Asked Questions
Basic knowledge of Python programming is required. Some understanding of mathematics (especially linear algebra, statistics, and probability) will be helpful, but not mandatory—we’ll cover the essentials as we go.
This course is designed for students, professionals, and beginners who want to start their journey in machine learning and AI. No prior ML experience is needed.
Not necessarily. Most exercises will run fine on any modern laptop. For more intensive tasks, you get access to Selfmade Ninja Labs, where you can practice everything directly in the cloud without any local setup.
It's hands-on and project-based. While we do cover the theory, our focus is on practical implementation and real-world problem-solving using Python and ML libraries.
Python is the primary language. You’ll also use Jupyter notebooks, NumPy, pandas, scikit-learn, matplotlib, and a few others depending on the module.